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Three Things to Consider When Thinking About Containers

 | October 19, 2016 |  Posted In: Docker, Hardware and Storage, MySQL, Solutions Engineering

containers

Containers like Docker and Rocket are getting more popular every day. In my conversations with customers, they consistently ask what containers are and how they can use them in their environment. If you’re as curious as most people, read on. . . How did this happen? From what I understand, containers grew out of Google’s (and others’) […]

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Myth Busting: MongoDB Scalability (it scales!)

 | February 19, 2016 |  Posted In: MongoDB, Solutions Engineering

MongoDB Scalability

Recently I was talking with Tim Sharp, one of my colleagues from our Technical Account Manager team about MongoDB’s scalability. While doing some quick training with some of the Percona team, Tim brought something to my attention: he mentioned to me that several customers he has been in contact with have been telling him that “MongoDB […]

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MongoDB revs you up: What storage engine is right for you? (Part 4)

and  | January 27, 2016 |  Posted In: MongoDB, Solutions Engineering

MongoDB

Differentiating Between MongoDB Storage Engines: PerconaFT In this series of posts, we discussed what a storage engine is, and how you can determine the characteristics of one versus the other: “A database storage engine is the underlying software that a DBMS uses to create, read, update and delete data from a database. The storage engine should […]

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MongoDB revs you up: What storage engine is right for you? (Part 3)

and  | January 20, 2016 |  Posted In: MongoDB, Solutions Engineering

Differentiating Between MongoDB Storage Engines: RocksDB In this series of posts, we discussed what a storage engine is, and how you can determine the characteristics of one versus the other: “A database storage engine is the underlying software that a DBMS uses to create, read, update and delete data from a database. The storage engine should […]

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MongoDB revs you up: What storage engine is right for you? (Part 2)

and  | January 11, 2016 |  Posted In: MongoDB, Solutions Engineering

Differentiating Between MongoDB Storage Engines: WiredTiger In our last post, we discussed what a storage engine is, and how you can determine the characteristics of one versus the other. From that post: “A database storage engine is the underlying software that a DBMS uses to create, read, update and delete data from a database. The […]

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MongoDB revs you up: What storage engine is right for you? (Part 1)

and  | January 6, 2016 |  Posted In: MongoDB, Solutions Engineering

Differentiating Between MongoDB Storage Engines The tremendous data growth of the last decade has affected almost all aspects of applications and application use. Since nearly all applications interact with a database at some point, this means databases needed to adapt to the change in usage conditions as well. Database technology has grown significantly in the last […]

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Increasing Cloud Database Efficiency – Like Crows in a Closet

 | February 25, 2015 |  Posted In: Solutions Engineering, Tokutek, TokuView

In Mo’ Data, Mo’ Problems, we explored the paradox that “Big Data” projects pose to organizations and how Tokutek is taking an innovative approach to solving those problems. In this post, we’re going to talk about another hot topic in IT, “The Cloud,” and how enterprises undertaking Cloud efforts often struggle with idea of “problem […]

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Mo’ Data, Mo’ Problems

 | January 22, 2015 |  Posted In: Solutions Engineering, Tokutek, TokuView

Welcome to blog #2 in a series about the benefits of the Fractal Tree. In this post, I’ll be explaining Big Data, why it poses such a problem and how Tokutek can help. Given the fact that I am a lifelong fan of both Hip-hop and Big Data, the title was a no-brainer and, given […]

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Fractal Tree Greatness: The Nexus

 | January 15, 2015 |  Posted In: Solutions Engineering, Tokutek, TokuView

In my recent travels, I’ve been speaking with database users at various meetups and trade shows worldwide. Very often, I got questions centering around the best use cases for our products, be it TokuDB, our MySQL storage engine, or, TokuMX, our distribution of MongoDB. Over 90% of the time, I responded Cloud, Big Data or both. […]

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